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Published Release Notes

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This documentation is for non-current versions of Pega Platform. For current release notes, go here.

Flexible inputs in strategies

Valid from Pega Version 7.1.6

Decision parameters allow business users to influence the decision through flexible inputs that do not require changing strategies. System architects use extension points to configure the data model and user interface supporting decision parameters. Decision parameters are used in strategies, and changes to the values of decision parameters become immediately available without requiring any changes to the strategy.

The rule pxRunDecisionParameters supports the use of decision parameters through activities.

Enable business users to own parts of an enterprise application

Valid from Pega Version 7.1.6

Decision Manager functionality allows business users to own parts of an enterprise application within the boundaries defined by IT. PegaDM includes the Pega-DecisionManager ruleset that supports this functionality.

System architects define the boundaries for business users in the Decision Manager portal using revision management and proposition authorization facilities in Designer Studio. Access control is provided through custom roles, which system architects can create based on granular privileges. The Decision Manager portal provides business users with a controlled environment for the workflow, and the activities necessary to address the objectives of a revision.

Predefined inputs when designing and testing strategies

Valid from Pega Version 7.1.6

External input settings allow for propagating results to other strategies, providing strategy designers with a mechanism to reuse strategies and test strategies with predefined inputs.

Design segmentation trees in strategies

Valid from Pega Version 7.1.6

You can include the traditional segmentation tree pattern in your strategies using the following features:

  • Exclusion components to conditionally stop the propagation of decision results.
  • Split components to branch the decision results according to the percentage of cases covered by the result.
  • The Otherwise label for component connections where one of the outgoing connections has a defined label.

Simplified Adaptive Decision Manager Deployment

Valid from Pega Version 7.1.6

The Adaptive Decision Manager (ADM) server relies on automatic detection of the database dialect. This simplifies the number of deployable archives used to set up the ADM service.

Cumulative calculation in strategies

Valid from Pega Version 7.1.6

Iteration components provide strategies with a mechanism to perform cumulative calculations.

Deploy revisions directly in target environments

Valid from Pega Version 7.3

As a revision manager, you can now directly deploy or migrate completed revisions to multiple Pega 7 Platform environments that were configured as targets by the system architect. The revision management process is faster because you do not need to package a revision as a JAR file, and then manually import that file to the Pega 7 Platform. Additionally, this solution gives business users more control over application rulesets and enables them to act more independently.

For more information, see Direct deployment of revisions.

Delegation experience in revision management

Valid from Pega Version 7.3

Revision managers can now control rule authoring by assigning a delegation experience to any rule that is part of a revision management change request. Delegation experience types offer different rule authoring capabilities, so the revision manager can select the appropriate delegation experience for the task and the strategy designer’s experience.

File data set

Valid from Pega Version 7.3

You can now create a File data set that reads data from a file that is in CSV or JSON format. You can use this type of data set to test data flows and strategies.

For more information, see Creating a File data set record.

Analyze intentions in text analytics

Valid from Pega Version 7.3

You can now analyze text content to determine whether it contains any underlying intention. Through intent analysis, you can determine whether your customers are likely to continue subscribing to your services, want to know more about your products, or whether you are facing customer churn. Based on the detected intentions, you can take appropriate actions to ensure the growth of your business and minimize customer churn. Intent analysis is supported only for the English language.

For more information, see Intent analysis and filtering.

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